Trust & Ethics

TruVector is designed for responsible data practices — not just collection.

We emphasize consent, privacy, provenance, and auditability so teams can build with confidence.

Principles

Participants opt in by data type. Clear explanations of what is collected and why.

Minimize data where possible. Control access. Treat sensitive content with higher scrutiny.

Maintain a clear trail from capture through validation. Enables audit-ready datasets.

Monitor representativeness across regions and languages. Reduces skew and hidden gaps.

A dataset should answer: who collected this, under what consent, and how was it validated?

Each data point includes language, region, consent records, age, phenotypical data, validation history, and provenance.

Structured validation steps produce traceable decisions and quality tiers tied to each sample.

Dataset scope and permitted usage are defined for responsible downstream deployment.

Tell us your dataset requirements. We'll propose an ethical, auditable approach with clear licensing terms.